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Modern network security architectures face skills shortfall

SN blogs: October is Cybersecurity Awareness Month. One analyst says the industry should use the time to shed light on the industry's cybersecurity skills shortage.

Cybersecurity skills deemed inadequate in several enterprise cases

Cybersecurity Awareness Month is only a few days away and Enterprise Strategy Group Senior Analyst Jon Oltsik hopes...

that the IT industry will use this opportunity to spread awareness about the cybersecurity skills shortage. Oltsik worries that enterprise-level companies are not keeping up with changing network security architectures and evolving security threats. Oltsik cites ESG research that indicates that 47% of organizations say that the number of employees dedicated to network security is inadequate in some, most, or all cases. Moreover, 44% of organizations say the number of employees they have on staff who can boast strong knowledge in both security and networking is inadequate. About 30% of organizations say the network security skills of their information security personnel are insufficient. The research is based on answers from 397 responses from a variety of enterprise organizations.

Read more of why Oltsik is ready to sound the alarm on the cybersecurity skills shortage.

For predictive analytics results, the enterprise needs a chief analytics officer

We've all heard about the importance of harnessing big data analytics to monitor security threats, predict end-user behavior and manage the overall network. But analytics without a plan for how to use or interpret data is pretty meaningless. Bill Franks, chief analytics officer at Teradata, says that it is important to determine who owns the analytics at your organization. Many times, he says, different departments like marketing and finance will have their own analytics teams. While this is not necessarily bad, there needs to be a C-suite level analytics manager who oversees analytics for the entire company. Why? "To drive analytics initiatives and tie them to the right corporate priorities," says Franks. Since predictive analytics are becoming a necessity for enterprise organizations, it's important to identify that go-to person.

Read Franks' explanation of the role of the chief analytics officer.

So much talk about openness; is IBM's OpenPower finally the real deal?

Current Analysis analyst Steven Hill sees IBM's OpenPower Foundation as an "altruistic gesture" to the computing world. As the technology industry continues to battle over open source platforms, often debating which entity is most open, Hill believes that IBM is actually the real deal. With OpenPower, members have access to blueprints and code going decades back. Hill says, "They seem to be taking the highest road imaginable when it comes to freely sharing what amounts to decades, and perhaps billions of dollars' worth, of technology research."

So far, 60 organizations have signed up as participants. Hill says this could lead to the next generation of affordable 64-bit computing, which he says might be needed when the thriving x86 platform eventually runs its course.

Read more about Hill's optimistic outlook about IBM's open source platform.

Computational enterprise analytics: Linking the tools to the insights

IBM's Watson Analytics is not the only data visualization initiative out there. Managing big data analytics in a way that companies can use the information to drive business results is proving to be a popular theme in the tech industry. Steve Lohr blogs in The New York Times about a recent initiative by the nonprofit Center for Global Enterprise, championed by Samuel J. Palmisano, former chief executive at IBM. The research program, computational enterprise analytics, is described by the center's Peter C. Evans, vice president of strategic analysis and trends, as "a collaboration between computing and management science that seeks to describe complex business ecosystems." The software, similar to IBM Watson, takes news releases, analysis reports, research investments and similar information and translates those data sources into graphic visualizations that companies can use to meet their strategic and operational objectives.

Read more about computational enterprise analytics research.

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